Backend DevOps Engineer

Job Title: Backend DevOps Engineer Location: Sunnyvale, CA - Onsite Fulltime role with L&T Technology Services (LTTS) Job Description & Skill Requirement Role Overview We’re seeking a highly skilled and motivated Backend DevOps Engineer to join our engineering team in Sunnyvale. You will design, build, and maintain scalable infrastructure and backend systems that support Meta’s mission-critical applications. You’ll play a key role in ensuring our systems are reliable, automated, secure, and efficient at scale. Responsibilities • Design and implement backend systems and DevOps tooling for deployment, monitoring, and scalability. • Automate CI/CD pipelines and optimize system performance across development, staging, and production environments. • Collaborate with cross-functional teams to integrate infrastructure-as-code (IaC) into the software development lifecycle. • Develop backend services and APIs in languages in C++. • Build robust monitoring and alerting systems using tools like Prometheus, Grafana, ELK, or equivalent. • Troubleshoot infrastructure and deployment issues, ensuring high availability and reliability. • Implement best practices for security, containerization (Docker), and orchestration (Kubernetes). • Drive innovation through the adoption of new tools, cloud-native technologies, and scalable architecture patterns. Minimum Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field. • 4+ years of experience in backend development and/or DevOps engineering. • Proficient in one or more backend programming in C++. • Experience with cloud platforms such as AWS, GCP, or Azure. • Strong understanding of Linux systems, networking, and security. • Experience with CI/CD systems such as Jenkins, GitLab CI, or GitHub Actions. • Experience with container technologies (Docker) and orchestration (Kubernetes). • Solid grasp of infrastructure-as-code tools such as Terraform, Ansible, or Pulumi. Preferred Qualifications • Experience working in large-scale, high-performance production environments. • Familiarity with service mesh technologies (e.g., Istio, Linkerd). • Contributions to open-source DevOps or infrastructure projects. • Passion for performance tuning, operational excellence, and systems reliability.